{"id":"W4412225392","doi":"","title":"Different Paths to the Same Goal? The Potential of BITs and FTAs for Achieving Climate Objectives","year":2024,"lang":"en","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Climate change; Computer science; Environmental science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009209827,0.0004319203,0.0005583309,0.001367392,0.002347229,0.01265126,0.001178669,0.004913515,0.02056849],"category_scores_gemma":[0.01866155,0.0002955612,0.0008370003,0.001955234,0.009679541,0.02212003,0.006627967,0.006575833,0.002399118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004812938,"about_ca_system_score_gemma":0.007809575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00480412,"about_ca_topic_score_gemma":0.005875067,"domain_scores_codex":[0.992233,0.00436869,0.0001990733,0.0007419474,0.001282621,0.001174618],"domain_scores_gemma":[0.9925028,0.003204075,0.0009325007,0.001224865,0.0009281377,0.001207626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003776604,0.00001166512,0.0002929055,0.00002928453,0.000007905364,0.00002091969,0.0002661965,0.0005366835,0.0000366794,0.9863128,0.00236561,0.01008164],"study_design_scores_gemma":[0.00001883261,0.00001563774,0.0003849514,0.0001363983,0.000009868405,0.00002453096,0.0006878206,0.000886648,0.00009229846,0.9573098,0.04041387,0.00001932814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05463535,0.01150686,0.06028807,0.1903953,0.001475593,0.00007491666,0.000542365,0.000246774,0.6808347],"genre_scores_gemma":[0.9404171,0.005013309,0.02252689,0.009493319,0.0003510094,0.0001375917,0.0002081174,0.0002723274,0.02158038],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02056849,"threshold_uncertainty_score":0.06880844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07502563039469824,"score_gpt":0.2738390613690897,"score_spread":0.1988134309743915,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}